Infrastructure Camera Position Displacement Detection
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Solution Overview
Problem
Existing systems for controlling moving bodies using infrastructure cameras face errors in position estimation if the camera becomes mispositioned, leading to inaccurate control of the moving body, necessitating a method to accurately detect camera displacement.
Innovation Solution
A system and method that utilize multiple markers in a predetermined area, where an infrastructure camera captures images including these markers, compares them over time, and determines camera displacement based on a predetermined number of position changes among the markers, distinguishing between camera misalignment and other marker-related issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If position estimation is performed using infrastructure camera images, then control of moving body can be achieved, but measurement precision deteriorates when camera becomes out of position
Solution Approach 1:
The system performs preliminary detection of camera positional displacement by comparing marker positions in sequential images before executing control operations. This preliminary action identifies camera mispositioning early, allowing the system to correct or flag measurement errors before they compromise control accuracy, thus resolving the contradiction between maintaining reliable control and ensuring precise position estimation.
Solution Approach 2:
The system establishes a feedback mechanism where marker position changes are continuously monitored and fed back to detect camera displacement. This feedback loop enables real-time detection of measurement precision degradation, allowing the system to adjust or recalculate position estimates, thereby maintaining both control reliability and measurement precision even when camera position drifts.
2Device complexity
If single camera is used for position estimation, then device complexity is reduced, but measurement precision deteriorates due to inability to distinguish camera displacement from marker displacement
Solution Approach 1:
The system segments the detection task by analyzing multiple markers individually within a single camera's field of view. By tracking position changes of each marker separately and comparing them against expected patterns, the system can distinguish whether observed displacements originate from camera movement or marker movement, thereby maintaining measurement precision without increasing device complexity.
Solution Approach 2:
The single infrastructure camera is made multi-functional by enabling it to perform both normal position estimation and self-diagnosis of its own positional stability. The same camera that estimates moving body position also detects its own displacement through marker analysis, eliminating the need for additional cameras while maintaining measurement precision through intelligent algorithmic processing.
Data Source
AI summary
The present disclosure provides a system for supporting a movement of a moving body in a predetermined area. The system acquires an image captured by an infrastructure camera such that the image includes a plurality of markers arranged in the predetermined area. The system compares the image acquired this time and the image acquired previous time. The system detects a position change marker among the plurality of markers whose position in the image acquired previous time changes from that in the image acquired this time. The system determines that the infrastructure camera is out of position when it is detected that number of the position change marker is equal to or more than a predetermined number. The system determines that the infrastructure camera is not out of position when it is detected that number of the position change marker is less than the predetermined number.